中文说明：语音通常描述为有谱峰或共振峰，识别语音信号。第一次提出了一个有趣的实验，XXX，滤波器的语音信号，若要删除在一个人的所有共振峰信息在这次演讲的时间。如果没有共振峰，怎能讲话明白吗？事实证明处理，就像拉斯特意味着在光谱中的相对变化是最重要的因此语音信号据悉，因为共振跃迁携带信息。这做演讲的时候应有重要的透明度此函数与一个给定的采样率 （sr） 语音信号 （数据）。它然后找到的 L 阶 LPC 筛选器描述在语音给定位置 （pos ms）。整个语音信号然后用进行筛选逆的 LPC 过滤器，有效地将在语音谱给定的时间白 （平）。
English Description：
Speech is often described as having spectral peaks or formants whichidentify the phonetic signal. An interesting experiment, first proposed byXXX, filters a speech signal to remove all the formant information at onetime during the speech. If there are no formant peaks, how can the speechbe understood? It turns out that processing, much like RASTA, means thatrelative changes in spectrum are the most important, thus the speech signalis understood because the formant transitions carry the information. Thisgives speech an important transparency dueThis function takes a speech signal (data) with a given sampling rate (sr).It then finds the L-order LPC filter that describes the speech at the givenposition (pos ms). The entire speech signal is then filtered with theinverse of the LPC filter, effectively turning the speech spectrum at thegiven time white (flat).